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Running customer personality segmentation analysis...
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Analyze another fileK-means clustering segments customers into behavioral personas based on spending patterns across product categories and demographics. Clusters reveal distinct customer archetypes enabling targeted marketing campaigns.
Use when you have customer transaction data with spend categories and want to identify distinct behavioral segments for targeted marketing.
Do not use if customer records are fewer than 50 or if spend categories are mostly zero/missing.
Built for: Marketing managers, CRM analysts, customer insights leads, ecommerce data analysts, growth marketers, loyalty program managers
Typical data source: Customer records with spend across product categories (wine, meat, fish, sweets, gold), demographics (income, education, family size), purchase channel counts (web, store, catalog), and campaign response flags over 1-2 years
Dataset with 25 columns
Minimum 100 rows
Cornerstone #19 — K-means clustering + RFM on customer personality (2,936 votes)
Defining characteristics of each segment - income, wine/meat spend, recency
Total spend comparison across all customer segments
How household income separates the customer clusters
Cross-sell opportunities revealed by spend category correlations
Channel preferences (web/catalog/store) by customer segment
Income vs wine spend relationship colored by segment
Campaign acceptance rates by customer segment for marketing ROI
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Tf038 Live Ttest — When you have predefined customer groups and want to test whether a single metric like spend or income differs significantly between them, rather than discovering unlabeled groups through clustering.
Similar: Churn Drivers
Discover distinct customer personas from purchase and demographic data
Run K-means clustering on spend categories, income, and campaign response data to reveal 3-5 natural customer groups, each with a distinct behavioral profile that marketing can act on.
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
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